Normed spaces and their applications in statistical regression.

نویسندگان

1 Department of Statistics, University of Qom, Isfahan Old Road, Qom, Iran

doi
10.22091/maa.2025.11813.1025
چکیده

The application of mathematical concepts in statistics is crucial for data analysis, extracting results, and decision-making. Among these concepts, normed spaces play a fundamental role. They provide a structural method for measuring distances and defining convergence, which are vital in various statistical methodologies including regression analysis. This paper explores the different types of normed spaces utilized in the field of statistics and their applications.